Big Data

Big data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analysed for insights that lead to better decisions and strategic business moves.

Saas/Cloud Computing

esquare’s Hybrid IT Solutions provide an Automated and Orchestrated provisioning and management of Public, Private Cloud

HTML5/CSS3

The traditional workplace is fast transforming into a workplace-on the-move model where employees expect to work

Digital ecosystem architecture

Digital transformation and Bi-modal IT are the recent trends influencing every business.

Big Data History and Current Considerations:

Volume

Volume Organizations collect data from a variety of sources, including business transactions, social media and information from sensor or machine-to-machine data. In the past, storing it would’ve been a problem – but new technologies (such as Hadoop) have eased the burden.

Variability

In addition to the increasing velocities and varieties of data, data flows can be highly inconsistent with periodic peaks. Is something trending in social media? Daily, seasonal and event-triggered peak data loads can be challenging to manage.

Complexity

Today's data comes from multiple sources, which makes it difficult to link, match, cleanse and transform data across systems. However, it’s necessary to connect and correlate relationships